Children's Active Physical Learning Is as Effective and Goal-Targeted as Adults'.
We explore how children and adults actively experiment within the physical world to achieve different epistemic goals. In our experiment, one hundred one 4- to 10-year-old children and 24 adults either passively observed or used a touchscreen interface to actively interact with objects in a dynamic...
| Publicado en: | Developmental Psychology Vol. 58; no. 12; pp. 2310 - 2322 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
Dec2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=160857275&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 160857275 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00121649 DPS jtl: Developmental Psychology issn: 00121649 maglogo: N pubinfo: dt: Dec2022 vid: 58 iid: 12 pid: 34 pub: American Psychological Association artinfo: ui: 160857275 10.1037/dev0001435 ppf: 2310 ppct: 12 formats: tig: atl: Children's Active Physical Learning Is as Effective and Goal-Targeted as Adults'. aug: au: Bramley, Neil R. Ruggeri, Azzurra affil: Department of Psychology, University of Edinburgh MPRG iSearch, Max Planck Institute for Human Development, Berlin, Germany School of Education, Technical University Munich su: Judgment (Psychology) Uncertainty Task performance Qualitative research Goal (Psychology) User interfaces Learning strategies Computer input-output equipment Statistical models sug: subj: Judgment (Psychology) Uncertainty Task performance Qualitative research Goal (Psychology) Computer and peripheral equipment manufacturing Computer Terminal and Other Computer Peripheral Equipment Manufacturing User interfaces Learning strategies Computer input-output equipment Statistical models keyword: active learning Bayesian statistics cognitive development intuitive physics mental simulation active learning Bayesian statistics cognitive development intuitive physics mental simulation ab: We explore how children and adults actively experiment within the physical world to achieve different epistemic goals. In our experiment, one hundred one 4- to 10-year-old children and 24 adults either passively observed or used a touchscreen interface to actively interact with objects in a dynamic physical microworld with the goal of inferring one of two latent physical properties: relative object masses or local forces of attraction and repulsion. We find an age improvement in judgments as well as an advantage for active over passive learning. With the help of Bayesian statistics and a computational modeling framework for the quantitative analysis of participants' actions, we show that children's and adults' actions are equally successful in targeting their goal-relevant uncertainty. but that adults and older children are better able to use this information to respond correctly. We further unpack children's and adults' experimental strategies qualitatively, finding adults more likely to use a "deconfounding" strategy to isolate properties of interest, potentially creating evidence less susceptible to cognitive and perceptual errors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|